Data Scientist Internship - Summer 2026
About The Position
The Advanced ML Engineering - Technology Development Group is seeking a highly motivated intern to join our team focused on advancing machine learning capabilities through image-based synthetic data generation. This role will contribute to the development of high-fidelity image datasets for training and validating ML models used in materials science, manufacturing, and metrology applications. Design and implement pipelines for generating synthetic images using simulation tools and generative models (e.g., GANs, diffusion models). Apply image processing techniques to enhance, annotate, and transform raw and synthetic datasets. Collaborate with ML engineers to integrate synthetic data into model training workflows. Evaluate the impact of synthetic data on model performance using metrics such as precision, recall, and robustness. Contribute internal documentation and present findings to cross-functional teams.
Requirements
- Experience with Python and libraries such as OpenCV, PIL, scikit-image, or PyTorch/TensorFlow.
- Familiarity with generative AI techniques and image synthesis.
- Knowledge of ML model development and evaluation.
- Strong communication and collaboration skills.
- Pursuing a PhD degree in Computer Science, Electrical Engineering, Data Science, or related field and must be enrolled in Fall 2026 classes.
Nice To Haves
- Experience with 3D rendering or simulation tools (e.g., Blender, Unity).
- Exposure to materials science or manufacturing domains.
- Prior work with image segmentation, classification, or object detection.
Responsibilities
- Design and implement pipelines for generating synthetic images using simulation tools and generative models (e.g., GANs, diffusion models).
- Apply image processing techniques to enhance, annotate, and transform raw and synthetic datasets.
- Collaborate with ML engineers to integrate synthetic data into model training workflows.
- Evaluate the impact of synthetic data on model performance using metrics such as precision, recall, and robustness.
- Contribute internal documentation and present findings to cross-functional teams.
Benefits
- Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan.
- Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave.
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What This Job Offers
Career Level
Intern
Industry
Computer and Electronic Product Manufacturing
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
